[HTML][HTML] ANOVA simultaneous component analysis: A tutorial review
When analyzing experimental chemical data, it is often necessary to incorporate the
structure of the study design into the chemometric/statistical models to effectively address …
structure of the study design into the chemometric/statistical models to effectively address …
Phenomic selection: A new and efficient alternative to genomic selection
Recently, it has been proposed to switch molecular markers to near-infrared (NIR) spectra
for inferring relationships between individuals and further performing phenomic selection …
for inferring relationships between individuals and further performing phenomic selection …
Novel authentication of African geographical coffee types (bean, roasted, powdered) by handheld NIR spectroscopic method
African coffee is among the best traded coffee types worldwide, and rapid identification of its
geographical origin is very important when trading the commodity. The study was important …
geographical origin is very important when trading the commodity. The study was important …
Miniaturized NIR spectrometers in a nutshell: Shining light over sources of variance
The increasing portability and accessibility of miniaturized NIR spectrometers are promoting
the spread of in-field and online applications. Alongside the successful outcomes, there are …
the spread of in-field and online applications. Alongside the successful outcomes, there are …
Evaluation of a combination of NIR micro-spectrometers to predict chemical properties of sugarcane forage using a multi-block approach
Forage quality is essential in livestock farming and has an important role in the functioning of
agricultural farms. Access to biochemical variables provides an estimation of the feed value …
agricultural farms. Access to biochemical variables provides an estimation of the feed value …
Development of a new NIR-machine learning approach for simultaneous detection of diesel various properties
S Liu, S Wang, C Hu, X Qin, J Wang, D Kong - Measurement, 2022 - Elsevier
The computer aided detection of diesel multiple properties is an active field of energy and
chemical research as a result of the need for quality control and brands management of …
chemical research as a result of the need for quality control and brands management of …
[HTML][HTML] A generic workflow combining deep learning and chemometrics for processing close-range spectral images to detect drought stress in Arabidopsis thaliana to …
Close-range spectral imaging (SI) of agricultural plants is widely performed for digital plant
phenoty**. A key task in digital plant phenoty** is the non-destructive and rapid …
phenoty**. A key task in digital plant phenoty** is the non-destructive and rapid …
Potential of high-spectral resolution for field phenoty** in plant breeding: Application to maize under water stress
Spectroscopy is today and for two decades strongly used in many fields (pharmacy,
agriculture, process, medicine…). This use in a very large number of applications is linked to …
agriculture, process, medicine…). This use in a very large number of applications is linked to …
Methodologies based on ASCA to elucidate the influence of a subprocess: Vinification as a case of study
In food manufacturing and processing, food matrix complexity usually makes it difficult to
detect unwanted subprocesses, which can impact the quality of the final product. In the case …
detect unwanted subprocesses, which can impact the quality of the final product. In the case …
[HTML][HTML] Non-invasive exploration of malting barley (Hordeum vulgare) in vitro germination and varietal effects using short wave infrared spectral imaging and ANOVA …
ANOVA-simultaneous component analysis (ASCA) was applied to short-wave infrared
spectral fingerprints of 5 malting barley varieties collected using a hyperspectral imaging …
spectral fingerprints of 5 malting barley varieties collected using a hyperspectral imaging …